Data Scientist Playbooks

Tactical playbooks for Data Scientists — experimentation, ML production, communicating to non-ML stakeholders, and the path to Senior DS and Lead.

1. A Day in the Life of a Data Scientist

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2. Your First 30/60/90 Days as a New Data Scientist

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3. Experiment Design That Survives Stakeholder Review

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4. Moving Models to Production Without Breaking Them

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5. Communicating Results to Non-ML Stakeholders

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6. Data Scientist Tools and Tech Stack

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7. DS Metrics: Shipped Models, Business Impact, Decay

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8. Path From Data Scientist to Senior and Lead

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9. Common Data Scientist Pitfalls

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10. AI in the Data Scientist Workflow

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